Product Data Scientist (Customer-facing) - Similarweb

Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery. Apply your expertise in quantitative analysis and data mining to turn data into insights. Conduct research and develop tools that will help answer clients’ business questions by using Similarweb’s raw data sets and algorithms. Partner with Engineering teams to establish an infrastructure to scale solutions. Partner with the Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience). 3+ years of experience as a Product Data Scientist, Solutions Engineer, or in a similar analytical role. Strong proficiency in SQL and Python. Demonstrated experience solving complex analytical problems using quantitative and statistical approaches. Experience working in customer-facing environments, including: Collaborating with a wide range of stakeholders - including Engineers, Sales, and customer-facing teams - to scope problems, align on requirements, and deliver data-driven- solutions that meet customer and business needs. Proven experience owning enterprise customer engagements end-to-end, including feasibility evaluation, solution design, implementation, and ongoing delivery of data-driven insights. Excellent communication skills in English, with the ability to present insights clearly and influence both technical and non-technical audiences. Proven ability to independently lead and own analytical initiatives end-to-end in ambiguous, fast-paced environments. Master's Degree in a quantitative field - Big Advantage.

Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery. Apply your expertise in quantitative analysis and data mining to turn data into insights. Conduct research and develop tools that will help answer clients’ business questions by using Similarweb’s raw data sets and algorithms. Partner with Engineering teams to establish an infrastructure to scale solutions. Partner with the Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience). 3+ years of experience as a Product Data Scientist, Solutions Engineer, or in a similar analytical role. Strong proficiency in SQL and Python. Demonstrated experience solving complex analytical problems using quantitative and statistical approaches. Experience working in customer-facing environments, including: Collaborating with a wide range of stakeholders - including Engineers, Sales, and customer-facing teams - to scope problems, align on requirements, and deliver data-driven- solutions that meet customer and business needs. Proven experience owning enterprise customer engagements end-to-end, including feasibility evaluation, solution design, implementation, and ongoing delivery of data-driven insights. Excellent communication skills in English, with the ability to present insights clearly and influence both technical and non-technical audiences. Proven ability to independently lead and own analytical initiatives end-to-end in ambiguous, fast-paced environments. Master's Degree in a quantitative field - Big Advantage.

Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery. Apply your expertise in quantitative analysis and data mining to turn data into insights. Conduct research and develop tools that will help answer clients’ business questions by using Similarweb’s raw data sets and algorithms. Partner with Engineering teams to establish an infrastructure to scale solutions. Partner with the Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience). 3+ years of experience as a Product Data Scientist, Solutions Engineer, or in a similar analytical role. Strong proficiency in SQL and Python. Demonstrated experience solving complex analytical problems using quantitative and statistical approaches. Experience working in customer-facing environments, including: Collaborating with a wide range of stakeholders - including Engineers, Sales, and customer-facing teams - to scope problems, align on requirements, and deliver data-driven- solutions that meet customer and business needs. Proven experience owning enterprise customer engagements end-to-end, including feasibility evaluation, solution design, implementation, and ongoing delivery of data-driven insights. Excellent communication skills in English, with the ability to present insights clearly and influence both technical and non-technical audiences. Proven ability to independently lead and own analytical initiatives end-to-end in ambiguous, fast-paced environments. Master's Degree in a quantitative field - Big Advantage.